• DocumentCode
    2792307
  • Title

    Speech enhancement using a frequency-specific composite Wiener function

  • Author

    Chen, Fei ; Loizou, Philipos C.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    4726
  • Lastpage
    4729
  • Abstract
    This paper introduces a new speech enhancement approach based on the design of a frequency-specific composite gain function for Wiener filtering. Motivated by the recently established finding that the acoustic cues at low frequencies can improve speech recognition in noise by the combined electric and acoustic stimulation technique, a less aggressive gain function is applied to replace the Wiener filter´s conventional rigid gain function at low frequencies. With this modification, the proposed approach is able to recover more low frequency (LF) components and enhance the speech quality in noisy environments. An adaptive procedure is utilized to determine the low frequency boundary. Objective evaluation, based on the PESQ measure, revealed that the proposed approach with adaptive LF boundary improved significantly the PESQ scores compared to the scores obtained with the conventional Wiener filter in steady-state noise, white noise and babble interference conditions. Speech quality was also found to be significantly enhanced in the car noise conditions when the less aggressive gain function was selectively applied only to the consonants.
  • Keywords
    Wiener filters; speech enhancement; Wiener filtering; frequency-specific composite Wiener function; low frequency components; speech enhancement; speech quality; Acoustic noise; Frequency; Low-frequency noise; Noise measurement; Speech enhancement; Speech recognition; Steady-state; White noise; Wiener filter; Working environment noise; Speech enhancement; Wiener filtering; perceptual evaluation of speech quality (PESQ);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5495166
  • Filename
    5495166